0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores). You can specify a custom number using the celery worker -c option then you can try to increase it. Experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool

0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores). You can specify a custom number using the celery worker -c option then you can try to increase it. Experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool

0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores). You can specify a custom number using the celery worker -c option then you can try to increase it. Experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool

0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores). You can specify a custom number using the celery worker -c option then you can try to increase it. Experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool

0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores), you can specify a custom number using the celery worker -c option then you can try to increase it, experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool

0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores), you can specify a custom number using the celery worker -c option then you can try to increase it, experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool

0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores), you can specify a custom number using the celery worker -c option then you can try to increase it, experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool

0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores), you can specify a custom number using the celery worker -c option then you can try to increase it, experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool

0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores), you can specify a custom number using the celery worker -c option then you can try to increase it, experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool

0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores), you can specify a custom number using the celery worker -c option then you can try to increase it, experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool